Triple
T10977540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yap State Legislature |
E259410
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Yap |
E118543
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Yap | Statement: [Yap State Legislature, locatedIn, Yap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yap Context triple: [Yap State Legislature, locatedIn, Yap]
-
A.
Yap
Yap is a common Chinese surname found among Chinese communities worldwide.
-
B.
Yap Islands
chosen
The Yap Islands are a group of islands in the western Pacific Ocean known for their traditional culture and use of large stone money, forming one of the states of the Federated States of Micronesia.
-
C.
Nhava Island
Nhava Island is a small island in Navi Mumbai, India, situated in Mumbai Harbour and known for hosting part of the Jawaharlal Nehru Port complex.
-
D.
Malaita Island
Malaita Island is one of the major and most populous islands of the Solomon Islands in the South Pacific, known for its rich Melanesian culture and traditional societies.
-
E.
Koror Island
Koror Island is a major island of Palau that serves as its commercial center and former capital, known for its dense population and role as a hub for tourism and government services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f6a9448190b3932ee801ae0da9 |
completed | April 9, 2026, 9:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d548b4481909dc73f834c704d44 |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:24 p.m.